Glances vs OpenObserve
Side-by-side comparison of features, pricing, ratings, and alternatives.
Glances is an open‑source, cross‑platform monitoring tool that provides a concise, real‑time view of system resources such as CPU, memory, disk I/O, network, and processes. It runs on Linux, Windows, macOS and can be accessed via a web interface, making it ideal for both local and remote monitoring. Designed for system administrators and DevOps teams, Glances aggregates metrics into a single dashboard, supports customizable alerts, and integrates with scripts or APIs for automated workflows. Its lightweight design ensures minimal overhead while delivering comprehensive performance insights.
OpenObserve is a lightweight, open‑source platform that consolidates logs, metrics, and traces into a single searchable store. It offers a cost‑efficient alternative to Elasticsearch, making high‑volume data ingestion affordable for teams of any size. The solution provides real‑time querying, customizable dashboards, and native integrations with popular monitoring tools, enabling DevOps and SRE teams to gain full visibility into their infrastructure without vendor lock‑in.
- Fully open‑source and free
- Runs on all major operating systems
- Lightweight with low resource overhead
- Extensible via plugins and API
- Free and open‑source with no license fees
- Low storage cost compared to Elasticsearch
- Unified platform for logs, metrics, and traces
- Easy self‑hosted deployment on Kubernetes or VM
- No native mobile app
- Limited built‑in visualization compared to commercial tools
- Alerting requires manual configuration or external scripts
- Smaller community and ecosystem than Elasticsearch
- Built‑in visualisation features are less extensive than commercial rivals
- Enterprise‑grade features are still evolving
More alternatives & similar tools
Alternatives to Glances
View all →Alternatives to OpenObserve
View all →The Verdict
AI-generated from listing dataGlances offers lightweight, cross‑platform system monitoring, while OpenObserve provides a full‑stack observability platform for logs, metrics, and traces; choose based on depth vs. simplicity.
Key differences
- •Scope: Glances monitors host resources only; OpenObserve ingests logs, metrics, and traces.
- •Deployment: Glances runs as a single binary on any OS; OpenObserve requires Kubernetes or VM deployment with Helm.
- •Alerting: Glances needs manual scripts; OpenObserve includes built‑in alert rules for logs, metrics, and traces.
- •Multi‑tenant support: OpenObserve offers isolation for teams; Glances has no such feature.
- •Visualization: Glances provides basic CLI/web view; OpenObserve ships Grafana‑compatible dashboards.
Pricing & value
Both are free and open‑source, so cost is equal.
Ease of use / learning curve
Glances runs instantly on Windows, macOS, Linux with no orchestration, whereas OpenObserve needs Kubernetes/Helm setup.
Features & depth
OpenObserve handles logs, metrics, traces, alerts, and dashboards; Glances only shows host resource stats.
Integrations & ecosystem
OpenObserve integrates Grafana, Prometheus, Loki, OpenTelemetry; Glances lacks a REST API and has fewer native integrations.
Collaboration
OpenObserve provides multi‑tenant isolation for team collaboration; Glances has no collaboration features.
Scalability
OpenObserve is designed for high‑volume log/metric ingestion; Glances is lightweight but not built for large data volumes.
Support
Both rely on community support via GitHub issues and forums.
Choose Glances if…
System admins needing quick, low‑overhead host resource monitoring on any OS.
Choose OpenObserve if…
DevOps/SRE teams requiring unified logs, metrics, and traces with built‑in alerts and dashboards.
Common questions
Is there any cost to use either tool?
Both Glances and OpenObserve are free and open‑source with no license fees.
Can I monitor application logs with Glances?
No; Glances only displays system‑level CPU, memory, disk, network, and process info.
What deployment effort is required for OpenObserve?
OpenObserve requires self‑hosting on Kubernetes or a VM using Helm charts; it is not a single‑binary install.
